| Name | streamsketchlib JSON |
| Version |
0.0.0
JSON |
| download |
| home_page | |
| Summary | Library of streaming algorithms for processing massive data. |
| upload_time | 2023-04-20 20:46:21 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.9 |
| license | The MIT License (MIT) Copyright © 2023 Dr. Hoa Vu and Daniel Barnas Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
streaming
algorithms
big
massive
data
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# StreamSketchLib
This package contains various streaming algorithms that are useful for processing massive scale data. For example, for calculating heavy-hitters in a data stream, implementations of the Misra-Gries and Count-Min algorithms are available. The problems that can be solved using this package include F0 and F2 estimation as well as set-membership inquiries (Bloom Filter).
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